Researchers designed a computational framework that consists of a compact metalens-integrated microscope and a transformer-based neural network, which enables large FOV and subpixel resolution imaging ...

A new "self-driving" microscope developed by UT Southwestern Medical Center researchers solves two fundamental challenges that have long plagued microscopy: first, imaging living cells or organisms at ...

a, An axi-symmetric binary phase filter (BPF) and image reconstruction network are jointly learned through the physics-informed neural network. The learned BPF is fabricated and inserted in a pupil ...

Researchers have developed a new type of microscope that can acquire extremely large, high-resolution pictures of non-flat objects in a single snapshot. This innovation could speed up research and ...